Prototype roadmap

[apasto]

TO-DO list, from concept to prototype

To be implemented

• script: window half size in output filenames
• global regression (i.e. non-windowed)
• output in a single netcdf file, with fields
• example data, synthesized or from a real case (e.g. real topography, generate random (smooth) c0, c1 and synthesize correlated observable, masking a real uncorrelated signal)
• unit tests
• package
• multiprocessing parallelism
• why xarray? the core rolling regression works fine for any array of the same size - we only need to assert for that.
• perform the decorrelation, including a remove-compute-restore "average preserving" strategy (otherwise the decorellation carries an implicit HP-filter side effect)

Document these aspects of the implementation:

• aspect ratio (arising from range-azimuth coordinates in InSAR applications)
• managing nans
• output quantities
• predicted part and residuals
• documentation of script behaviour
• module: decorellation without file i/o (pending splitting of script and module)

[apasto]

• With PR Implement: pip package, providing CLI tool #4 the package roadmap entry is ticked as done 🎉